Integrating LIBS and machine learning to identify Aphelenchoides besseyi infection in asymptomatic soybean leaves: a sustainable approach to food safety monitoring (2025)
- Authors:
- Autor USP: BORDUCHI, LUIS CARLOS LEVA - IFSC
- Unidade: IFSC
- DOI: 10.1109/SBFotonIOPC66433.2025.11218396
- Subjects: AGRICULTURA; LASER; SOLOS; ECONOMIA CIRCULAR
- Keywords: LIBS; Aphelenchoides besseyi; Early diagnosis; Machine learning; Leaf analysis
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: IEEE
- Publisher place: Piscataway
- Date published: 2025
- Source:
- Título: Proceedings
- Conference titles: SBFoton International Optics and Photonics Conference - IOPC
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
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ABNT
BORDUCHI, Luís Carlos Leva et al. Integrating LIBS and machine learning to identify Aphelenchoides besseyi infection in asymptomatic soybean leaves: a sustainable approach to food safety monitoring. 2025, Anais.. Piscataway: IEEE, 2025. Disponível em: https://doi.org/10.1109/SBFotonIOPC66433.2025.11218396. Acesso em: 09 fev. 2026. -
APA
Borduchi, L. C. L., Darezzo, H. M., Souza, D., & Milori, D. M. B. P. (2025). Integrating LIBS and machine learning to identify Aphelenchoides besseyi infection in asymptomatic soybean leaves: a sustainable approach to food safety monitoring. In Proceedings. Piscataway: IEEE. doi:10.1109/SBFotonIOPC66433.2025.11218396 -
NLM
Borduchi LCL, Darezzo HM, Souza D, Milori DMBP. Integrating LIBS and machine learning to identify Aphelenchoides besseyi infection in asymptomatic soybean leaves: a sustainable approach to food safety monitoring [Internet]. Proceedings. 2025 ;[citado 2026 fev. 09 ] Available from: https://doi.org/10.1109/SBFotonIOPC66433.2025.11218396 -
Vancouver
Borduchi LCL, Darezzo HM, Souza D, Milori DMBP. Integrating LIBS and machine learning to identify Aphelenchoides besseyi infection in asymptomatic soybean leaves: a sustainable approach to food safety monitoring [Internet]. Proceedings. 2025 ;[citado 2026 fev. 09 ] Available from: https://doi.org/10.1109/SBFotonIOPC66433.2025.11218396 - OPC-LIBS for quantification of Cd and Pb in tomatoes: a sustainable approach to food safety monitoring
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- Quantificação nutricional foliar usando a espectroscopia de emissão de plasma induzido por laser
- Total carbon and nutrient quantification in brazilian soils using libs technique with one-point calibration
- Detection of Escherichia coli in tomatoes using laser-induced breakdown spectroscopy and machine learning
- Soil analysis using laser-induced breakdown spectroscopy
- Application of one-point calibration LIBS for quantification of analytes in samples with distinct matrix characteristics: a case study with Hg
Informações sobre o DOI: 10.1109/SBFotonIOPC66433.2025.11218396 (Fonte: oaDOI API)
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